【感谢】proquest库英文文献1篇

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收藏 2008-02-13

【急求】proquest库英文文献1篇【题名】: Quantile&nbsp;&nbsp;&nbsp;regression for panel&nbsp;&nbsp;&nbsp;data &nbsp;&nbsp; 【作者】：Lamarche, Carlos Eduardo 【杂志名全称】：Dissertation【年, 卷(期), 起止页码】： 【全文链接】：http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&amp;rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&amp;res_dat=xri:pqdiss&amp;rft_dat=xri:pqdiss:3242908<table cellspacing="0" cellpadding="2" border="0"><tbody></tbody></table><table id="tableIndexTerms" cellspacing="1" cellpadding="4" border="0"><tbody><tr><td class="textSmall" valign="top">Advisor:</td><td class="textSmall" valign="top">Koenker, Roger</td></tr><tr><td class="textSmall" valign="top">School:</td><td class="textSmall" valign="top">University of Illinois at Urbana-Champaign</td></tr><tr><td class="textSmall" valign="top">School Location:</td><td class="textSmall" valign="top">United States -- Illinois</td></tr><tr><td class="textSmall" valign="top" nowrap="nowrap">Keyword(s):</td><td class="textSmall" valign="top">Quantile regression, Panel data</td></tr><tr><td class="textSmall" valign="top">Source:</td><td class="textSmall" valign="top">DAI-A 67/11, p. 4289, May 2007</td></tr><tr><td class="textSmall" valign="top" nowrap="nowrap">Source type:</td><td class="textSmall" valign="top">Dissertation</td></tr><tr><td class="textSmall" valign="top" nowrap="nowrap">Subjects:</td><td class="textSmall" valign="top">Labor economics,&nbsp;Economic theory</td></tr><tr><td class="textSmall" valign="top" nowrap="nowrap">Publication Number:</td><td class="textSmall" valign="top">AAT 3242908</td></tr><tr><td class="textSmall" valign="top" nowrap="nowrap">ISBN:</td><td class="textSmall" valign="top">9780542989278</td></tr><tr><td class="textSmall" valign="top" nowrap="nowrap">Document URL:</td><td class="textSmall" valign="top">http://proquest.umi.com/pqdlink?did=1276398191&amp;Fmt=7&amp;clientI d=75105&amp;RQT=309&amp;VName=PQD</td></tr><tr><td class="textSmall" valign="top" nowrap="nowrap">ProQuest document ID:</td><td class="textSmall" valign="top">1276398191<table cellspacing="0" cellpadding="3" width="100%" border="0"><tbody><tr valign="baseline" style="BACKGROUND: #eeeeee;"><td nowrap="nowrap" align="right" width="10%">题名:</td><td>Quantile &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;regression for panel &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;data /</td></tr><tr valign="baseline"><td nowrap="nowrap" align="right" width="10%">著者:</td><td><a href="http://firstsearch.oclc.org/WebZ/FSQUERY?searchtype=hotauthors:format=BI:numrecs=10:dbname=WorldCat::termh1=Lamarche%5C%2C+Carlos+Eduardo%5C%2C:indexh1=pn%3D:termh2=1971-:indexh2=pn%3D:operatorh1=AND:sessionid=fsapp13-41469-fcllx6x8-ixvus9:entitypagenum=6:0:next=html/records.html:bad=error/badsearch.html">Lamarche, Carlos Eduardo, 1971-</a>&nbsp;</td></tr><tr valign="baseline"><td nowrap="nowrap" align="right" width="10%">年份:</td><td>2006</td></tr><tr valign="baseline"><td nowrap="nowrap" align="right" width="10%">载体形态:</td><td>ix, 139 leaves, bound : ill. ; 29 cm.</td></tr><tr valign="baseline"><td nowrap="nowrap" align="right" width="10%">登载:</td><td>Dissertation Abstracts International 67-11A.</td></tr><tr valign="baseline"><td nowrap="nowrap" align="right" width="10%">学位论文:</td><td>Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2006.</td></tr><tr valign="baseline"><td nowrap="nowrap" align="right" width="10%">语种:</td><td>英语</td></tr><tr valign="baseline"><td nowrap="nowrap" align="right" width="10%">标准号码:</td><td>ISBN: 9780542989278; 0542989271</td></tr><tr valign="baseline"><td nowrap="nowrap" align="right" width="10%">摘要:</td><td>This dissertation considers three essays on quantile &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;regression methods for panel &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;data models. Chapter 1 investigates a class of penalized quantile &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;regression estimators for panel &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;data. Under plausible conditions, I obtain the minimum variance estimator in the class of penalized quantile &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;regression estimators, the analog of the Gaussian random effects estimator in the class of penalized least squares estimators for panel &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;data. Monte-Carlo evidence reveals that the estimator can significantly reduce the variability of the fixed effect version of the estimator without introducing bias. I then employ panel &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;data &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;quantile &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;regression methods for analysing voucher programs that serve heterogeneous students. Chapter 2 develops a fixed effects quantile &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;regression application. Rouse (1998) analysis of the Milwaukee Parental Choice program suggests that students selected to attend the choice school had a positive linear gain in mathematics. We show that students' gains are more subtle in nature. Remarkably, while high attainment students had a positive, convexly increasing gain in mathematics, lower attainment students were actually adversely affected over time. However, the evidence suggests that the program prevented weak students from having an even bigger loss experienced by students in the comparison group. Chapter 3 illustrates the use of the penalized quantile &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;regression estimator. Angrist et al. (2002) points out that the primary incentive effect of the Colombia's voucher program should be on those who are near the margin for passing on to the next grade because vouchers were renewable as long as the students maintained good academic progress. Applying quantile &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;regression, they report that increases in test scores are not observed in the lower quantiles of the conditional educational attainment distribution. They also estimate a classical Gaussian random effects model to account for individual heterogeneity, but this approach precludes estimating effects other than the mean. To get around the problem, we employ the quantile &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;regression &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;panel methods. The analysis shows that the program impact is largest in the lower tail of the conditional educational attainment distribution. This was conjectured by the original authors, but could not be confirmed empirically using conventional panel &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;data methods that focused on the conditional mean.</td></tr><tr valign="baseline"><td nowrap="nowrap" align="right" width="10%">检索:</td><td><a title="与外部网址的链接" href="http://firstsearch.oclc.org/WebZ/FSPage?pagetype=return_frameset:sessionid=fsapp13-41469-fcllx6x8-ixvus9:entitypagenum=6:0:entityframedurl=http%3A%2F%2Fgateway.proquest.com%2Fopenurl%3Furl_ver%3DZ39.88-2004%26rft_val_fmt%3Dinfo%3Aofi%2Ffmt%3Akev%3Amtx%3Adissertation%26res_dat%3Dxri%3Apqdiss%26rft_dat%3Dxri%3Apqdiss%3A3242908:entityframedtitle=WorldCat:entityframedtimeout=5:entityopenTitle=:entityopenAuthor=:entityopenNumber=:"><img height="16" alt="与外部网址的链接" src="http://firstsearch.oclc.org/images/fs_linksmall.gif" width="16" align="absMiddle" border="0"/>&nbsp;http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&amp;rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&amp;res_dat=xri:pqdiss&amp;rft_dat=xri:pqdiss:3242908</a></td></tr><tr valign="baseline"><td></td><td align="left" bgcolor="#eeeeee">主题 </td></tr><tr valign="baseline"><td nowrap="nowrap" align="right" width="10%">叙词:</td><td><a href="http://firstsearch.oclc.org/WebZ/FSQUERY?searchtype=hotsubjects:format=BI:numrecs=10:dbname=WorldCat::termh1=%22Economics%2C+Labor.%22:indexh1=su%3D:sessionid=fsapp13-41469-fcllx6x8-ixvus9:entitypagenum=6:0:next=html/records.html:bad=error/badsearch.html">Economics, Labor.</a>&nbsp; <a href="http://firstsearch.oclc.org/WebZ/FSQUERY?searchtype=hotsubjects:format=BI:numrecs=10:dbname=WorldCat::termh1=%22Economics%2C+Theory.%22:indexh1=su%3D:sessionid=fsapp13-41469-fcllx6x8-ixvus9:entitypagenum=6:0:next=html/records.html:bad=error/badsearch.html">Economics, Theory.</a>&nbsp;</td></tr><tr valign="baseline"><td nowrap="nowrap" align="right" width="10%">注释:</td><td>Source: Dissertation Abstracts International, Volume: 67-11, Section: A, page: 4289./ Adviser: Roger Koenker./ Includes bibliographical references (leaves 134-138)/ Available on microfilm from Pro Quest Information and Learning.</td></tr><tr valign="baseline"><td nowrap="nowrap" align="right" width="10%">分类号:</td><td>杜威: &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;<a title="330 = Social sciences : Economics" href="http://firstsearch.oclc.org/WebZ/FSQUERY?sessionid=fsapp13-41469-fcllx6x8-ixvus9:entitypagenum=6:0:next=html/records.html:bad=html/records.html:format=BI:numrecs=10:indexh1=:termh1=dd%3A330:dbname=WorldCat:searchtype=hotdewey">330</a></td></tr><tr valign="baseline"><td nowrap="nowrap" align="right" width="10%">责任:</td><td>by Carlos Eduardo Lamarche.</td></tr><tr valign="baseline"><td nowrap="nowrap" align="right" width="10%">归类:</td><td>硕士论文/博士论文 (deg); 网络资源 (url)</td></tr><tr valign="baseline"><td nowrap="nowrap" align="right" width="10%">资料类型:</td><td>书; 互联网资源</td></tr><tr valign="baseline"><td nowrap="nowrap" align="right" width="10%">登记日期:</td><td>20071003</td></tr><tr valign="baseline"><td nowrap="nowrap" align="right" width="10%">更新:</td><td>20071003</td></tr><tr valign="baseline"><td nowrap="nowrap" align="right" width="10%">登入号:</td><td>OCLC: 173640562</td></tr><tr valign="baseline"><td nowrap="nowrap" align="right" width="10%">数据库:</td><td>WorldCat</td></tr></tbody></table></td></tr></tbody></table>

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